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2020 – today
- 2023
[c12]Nikos Giatrakos
, Elias Alevizos, Antonios Deligiannakis, Ralf Klinkenberg, Alexander Artikis:
Proactive Streaming Analytics at Scale: A Journey from the State-of-the-art to a Production Platform. CIKM 2023: 5204-5207- 2021
- [c11]Marios Vodas, Konstantina Bereta, Dimitris Kladis, Dimitris Zissis, Elias Alevizos, Emmanouil Ntoulias, Alexander Artikis, Antonios Deligiannakis, Antonios Kontaxakis, Nikos Giatrakos, David Arnu, Edwin Yaqub, Fabian Temme, Mate Torok, Ralf Klinkenberg:
Online Distributed Maritime Event Detection & Forecasting over Big Vessel Tracking Data. IEEE BigData 2021: 2052-2057 - [c10]Ralf Klinkenberg:
Real-time big data stream analytics and complex event detection: modular visual framework, data science platform, and industry applications. DEBS 2021: 102 - 2020
- [c9]René Wöstmann, Philipp Schlunder, Fabian Temme, Ralf Klinkenberg, Josef Kimberger, Andrea Spichtinger, Markus Goldhacker, Jochen Deuse:
Conception of a Reference Architecture for Machine Learning in the Process Industry. IEEE BigData 2020: 1726-1735 - [c8]Nikos Giatrakos, David Arnu, Theodoros Bitsakis, Antonios Deligiannakis, Minos N. Garofalakis, Ralf Klinkenberg, Aris Konidaris, Antonis Kontaxakis, Yannis Kotidis, Vasilis Samoladas, Alkis Simitsis, George Stamatakis, Fabian Temme, Mate Torok, Edwin Yaqub, Arnau Montagud, Miguel Ponce de Leon, Holger Arndt, Stefan Burkard:
INforE: Interactive Cross-platform Analytics for Everyone. CIKM 2020: 3389-3392
2010 – 2019
- 2019
- [j4]Nikos Giatrakos, Nikos Katzouris, Antonios Deligiannakis, Alexander Artikis, Minos N. Garofalakis, George Paliouras, Holger Arndt, Raffaele Grasso, Ralf Klinkenberg, Miguel Ponce de Leon, Gian Gaetano Tartaglia, Alfonso Valencia, Dimitrios Zissis:
Interactive Extreme: Scale Analytics Towards Battling Cancer. IEEE Technol. Soc. Mag. 38(2): 54-61 (2019) - 2018
- [c7]Benedikt Kleppmann, Christian Bizer, Edwin Yaqub, Fabian Temme, Philipp Schlunder, David Arnu, Ralf Klinkenberg:
Density- and Correlation-based Table Extension. LWDA 2018: 191-194 - 2016
- [c6]Benjamin Klöpper, Marcel Dix, Lukas Schorer, Ann Ampofo, Martin Atzmueller, David Arnu, Ralf Klinkenberg:
Defining software architectures for big data enabled operator support systems. INDIN 2016: 1288-1292
2000 – 2009
- 2008
- [j3]João Gama, Jesús S. Aguilar-Ruiz, Ralf Klinkenberg:
Knowledge discovery from data streams. Intell. Data Anal. 12(3): 251-252 (2008) - 2007
- [j2]Martin Scholz, Ralf Klinkenberg:
Boosting classifiers for drifting concepts. Intell. Data Anal. 11(1): 3-28 (2007) - [c5]Alexander Hinneburg, Ralf Klinkenberg, Ingo Mierswa, Stefan Posch, Steffen Neumann:
Workshop on Knowledge Discovery, Data Mining, and Machine Learning and Workshop on Bioinformatics. LWA 2007: 12 - 2006
- [c4]Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Martin Scholz, Timm Euler:
YALE: rapid prototyping for complex data mining tasks. KDD 2006: 935-940 - 2005
- [c3]Ralf Klinkenberg:
Meta-Learning, Model Selection, and Example Selection in Machine Learning Domains with Concept Drift. LWA 2005: 164-171 - 2004
- [j1]Ralf Klinkenberg:
Learning drifting concepts: Example selection vs. example weighting. Intell. Data Anal. 8(3): 281-300 (2004) - 2003
- [c2]Oliver Ritthoff, Ralf Klinkenberg:
Evolutionary Feature Space Transformation Using Type-Restricted Generators. GECCO 2003: 1606-1607 - [p1]Ralf Klinkenberg, Stefan Rüping:
Concept Drift and the Importance of Example. Text Mining 2003: 55-78 - 2000
- [c1]Ralf Klinkenberg, Thorsten Joachims:
Detecting Concept Drift with Support Vector Machines. ICML 2000: 487-494
Coauthor Index
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